Paper Info
Title
Modeling distance and bandwidth dependency of TOA-based UWB ranging error for positioning
Abstract
A statistical model for the range error provided by TOA estimation using UWB signals is given, based on UWB channel measurements between 3.1 and 10.6 GHz. The range error has been modeled as a Gaussian random variable for LOS and as a combination of a Gaussian and an exponential random variable for NLOS. The distance and bandwidth dependency of both the mean and the standard deviation of the range error has been analyzed, and insight is given in the different phenomena which affect the estimation accuracy. A possible application of themodel to weighted least squares positioning is finally investigated. Noticeable improvements compared to the traditional least squares method have been obtained.
Year
DOI
Venue
2009
10.1155/2009/468597
J. Electrical and Computer Engineering
Keywords
Field
DocType
uwb channel measurement,squares method,estimation accuracy,exponential random variable,uwb signal,bandwidth dependency,squares positioning,range error,toa estimation,toa-based uwb,gaussian random variable,least square method,statistical model,random variable,standard deviation
Least squares,Normal distribution,Control theory,Algorithm,Ranging,Bandwidth (signal processing),Gaussian,Statistical model,Exponential distribution,Statistics,Standard deviation,Mathematics
Journal
Volume
ISSN
Citations 
2009,
2090-0147
7
PageRank 
References 
Authors
0.70
3
4
Name
Order
Citations
PageRank
Giovanni Bellusci1202.87
Gerard J. M. Janssen27319.73
Junlin Yan3202.87
Christian C. J. M. Tiberius4243.31